[R] Quantitative Methods Workshops in May 2020

[Scott Colwell]

FORWARDED – The following message has been forwarded and is not related to the University of Guelph.

Apologies for the cross-posting.

Good morning everyone. We sincerely hope you are all keeping safe and healthy while we all endure this pandemic.

As a result of the restrictions on public gatherings, we are going to be delivering our May 2020 workshops via online live streaming now as opposed to face-to-face at McMaster University. We will be providing materials ahead of time for all participants and will still include time for individual consultation regarding your own data (which can be scheduled at the live-stream workshop).

Each workshop provides a hands-on opportunity to learn using both R (with R-Studio) and Mplus.

For further information and to register, please go to: https://workshops.enablytics.com/


[1] Introduction to Structural Equation Modeling

This one-day hands-on workshop covers various introductory topics in structural equation modeling with continuous and categorical variables. Topics include, assumptions and data considerations, model creation, identification, and evaluation, multiple regression vs path analysis, path analysis, testing direct and indirect effects, and confirmatory factor analysis. Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.

[2] Advanced Structural Equation Modeling

This one-day hands-on workshop covers various advanced topics in structural equation modeling with continuous and categorical variables. Topics include, model creation, identification, and evaluation, testing moderation, mediation and moderated mediation, multiple group modeling, handling missing data, measurement invariance and power analysis. Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.

[3] Growth Modeling

This one-day hands-on workshop covers various topics in growth modeling (longitudinal modeling) with continuous and categorical variables. Topics include, growth modeling without covariates, growth modeling with time invariant and varying covariates, centering points, piecewise growth modeling, missing data and power analysis. Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.

[4] Multilevel Modeling

This two day hands-on workshop covers various topics in multilevel modeling with continuous and categorical variables. Topics include, when multilevel analysis is necessary, multilevel regression, random slopes and cross-level effects, multilevel confirmatory factor analysis and the MIMIC model, multilevel path analysis, multilevel mediation and moderation, multilevel latent variable modeling, longitudinal data, and power analysis. Examples will be demonstrated in both R (using R-Studio) and Mplus. Syntax and output for both programs will be provided for all examples covered in the workshop.

Thank you,

Scott





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